Solar Audit AI: Free Online Audit Booked 340 Consults in 60 Days
A Florida installer replaced their generic 'get a quote' form with an AI-powered instant solar audit. Homeowners input their address and bill; the tool returned an estimated system size, savings and payback in 45 seconds — and 3.2x more visitors booked a consult.
What was broken
- Website 'get a quote' form converted at 1.8% — well below industry benchmark
- Homeowners bounced because they wanted answers, not a callback later
- Reps chased everyone equally, even low-quality leads
- No differentiator vs the 6 other installers ranking in the local pack
What we built
AI-powered instant audit: address + bill → estimated system size, kWh production, savings and payback
Uses Google Solar API + PVWatts + utility rate database for real numbers, not marketing fluff
Report delivered on-screen in 45 seconds + emailed as branded PDF + sent to WhatsApp
Homeowners who see high savings auto-book a consult; low-fit leads offered a nurture opt-in instead
All audit inputs written to HubSpot as a pre-qualified lead with full property data
How it runs end-to-end
Homeowner inputs address + bill
Single-page audit form on the installer's site.
AI runs the calc
Google Solar API pulls roof data; PVWatts simulates production; utility API pulls rate.
Report delivered
On-screen visualisation + PDF + WhatsApp copy in 45 seconds.
Book or nurture
High-savings homeowners see a booking widget; others enter a 45-day nurture.
AE follow-up
HubSpot deal populated with system size, savings and financing preference — rep calls fully briefed.
The stack we used
Property + solar data: Google Solar API + PVWatts
Utility rates: OpenEI Utility Rates + custom Florida rate database
PDF generation: Puppeteer + custom branded template
AI conversational layer: GPT-4o for follow-up questions
WhatsApp delivery: 360dialog
CRM: HubSpot Sales Hub
What it looks like in production
Single address field + one bill number = full report.
System size, production, savings and 25-year cash flow.
Delivered by email and WhatsApp with the installer's branding.
Every audit becomes a fully-populated deal ready for the rep.
The numbers that moved
"The audit tool became our best lead magnet. Homeowners share their PDF with family — we get referral leads with zero ad cost."
Answers to the usual questions
Is the estimate accurate enough for homeowners to trust?
Within 8% of the final designed system in 92% of cases. The tool clearly states 'estimate — a full site survey confirms your exact system'.
Can it work outside the US?
Yes. For India we swap Google Solar for NASA POWER + local irradiance datasets, and for the UK we use MCS-approved solar irradiance data.
Does it slow down the site?
The audit runs on a dedicated subdomain (audit.installer.com) so main-site Core Web Vitals stay untouched.
Other solar deployments
Residential Solar AI: 4.1x Booked Consults in 45 Days
A Texas residential installer was spending $46,000/month on Google Ads and only reaching 22% of leads. Within 45 days of deploying our AI voice + WhatsApp + HubSpot stack, cost per booked consult dropped 61% and monthly installs climbed from 11 to 45.
ReadCommercial Solar AI: 2 x 400kW Deals Won From Weekend RFQs
A Pune-based C&I solar developer was losing weekend RFQs from procurement teams. Deploying an AI receptionist with intelligent routing captured every enquiry, qualified MW target and financing structure, and pinged the right named account executive on Slack — winning two 400kW deals in month one.
ReadSolar Lead Qualification AI: 68% Reduction in Rep Time on Dead Leads
A UK MCS-certified installer was drowning in unqualified leads from Google Ads. Deploying AI qualification (ownership, bill, EPC rating, roof type) filtered 71% of leads before a rep ever saw them, freeing sales for high-intent conversations that closed 2.4x more often.
ReadReady for a similar deployment?
Book a 20-minute audit. We will show a live demo trained for your service area, panels and CRM — with real numbers, not slides.